The pytorch module contains functions for handling computed tomography and chemical imaging data using Pytorch.
CNN1D
CNN2D
CNN3D
ConvBlock
Crop2D
DownBlock
PeakFitCNN
PeakModel
PrmCNN2D
ResNet2D
ResNetBlock
SD2I
UNet2D
UpBlock
VolumeModel
chebyshev_polynomial()
doniach_sunjic_peak()
exponential_power_peak()
gaussian_peak()
lorentzian_peak()
pearson7_peak()
polynomial()
pseudo_voigt_peak()
pseudo_voigt_peak_t()
split_pearson_peak()
voigt_peak()
Amatrix_rec()
Amatrix_sino()
Amatrix_torch()
RotMat()
Sino_torch()
back_project_3D()
cgls_pytorch_functional()
compute_W_ray()
create_torch_Amat()
forward_project_3D()
imrotate_torch()
sirt_pytorch_functional()
SSIM2D
SSIM3DLoss
calc_patches_indices()
denormalize()
draw_valid_indices()
filter_patch_indices()
generate_indices()
generate_sobol_indices_batch()
initialize_counter()
tv_3d()
tv_3d_spectral()
tv_spatial()
tv_spectral()
update_counter()
NCC
build_affine_matrix()
build_affine_matrix_3d()
icp_torch()
mae_loss()
mse_loss()
normalize_affine_matrix()
register_affine_2d()
register_affine_3d()
to_tensor2d()
to_tensor3d()
warp_volume_xy_batched()